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We provide top-notch quality to every client, irrespective of the amount they pay to us. Nanoengineering for Tunable Energy-Efficient Optoelectronics. Colloidal nanomaterials, such as semiconductor quantum dots, are of interest for various optoelectronic applications due to their size-tunable optical properties, distinctive electronic structure, and low-cost fabrication. Color-tuned and semi-transparent photovoltaics, devices with controlled and tunable reflection and transmission spectra, are of significant interest due to their potential applications in building-integrated photovoltaics, vehicular heat and power management, and multijunction photovoltaics.

My project focuses on using nanoengineering techniques, including multi-objective optimization algorithms, plasmonic nanoparticle enhancements, and hybrid-materials-based surface modifications, to design and build colloidal quantum dot-based devices with controlled optical and electrical properties for the next generation of inexpensive and ubiquitous light harvesting, detection, and emission technologies.

These algorithms allow us to specify data collection tasks, e. To reduce the amount of data needed for each task, and since models of underwater dynamics are computationally expensive, we use model-based reinforcement learning techniques where the models are data-driven.

A problem with these approaches is that, even if they are data efficient, collecting new data is expensive. Adopting cloud services to reduce operational, maintenance and storage costs, is becoming increasingly common. However, outsourcing data and computations, is opening up new challenges in terms of integrity and privacy of the data and the computations on them. Along with such important security and privacy concerns, availability, and scalability are major factors in such settings.

My thesis addresses various problems in this space of secure storage and computation outsourcing. In summary, the main contributions of my thesis are the following. The beginning of a new era in safe assistive robotics will occur when people with disabilities and seniors let intelligent software control a mobile robotic manipulator to safely reposition their body and limbs.

Our goal is to explore the intersection between providing physical care and robotics, and how it is possible to translate safe patient handling and mobility guidelines into smart human-robotic interaction HRI algorithms. For a mobile manipulator with knowledge-managed algorithms.

Our efforts seek to standardize protocols and regulations for how artificial intelligence agents related to physical HRI can achieve body and limb repositioning tasks. As assistive robotics become more mainstream, these best practices can improve safety in direct physical care in the process of repositioning the human body with a mobile robotic arm.

My research primarily focuses on exploring how machine learning can help improve real world decision making in domains such as health care and criminal justice. To this end, my thesis addresses various challenges involved in developing and evaluating interpretable machine learning frameworks which can complement and provide insights into human decision making. More specifically, my thesis focuses on the following diverse yet related research directions: The main contribution of my thesis is to address these problems under realistic assumptions which hold in real world decision making such as presence of unmeasured confounders and limited availability of labeled data.

My study examines the implementation of the health information system HIS in Mozambique and the roletechnologies play in educating health professionals for better delivery of care. Through a comprehensive examination of the HIS, from development to roll-out, I analyze the relationship between colonial and post colonial governmental top-down policies and compare them to the on-the-ground reality of using information and communications technology ICTs to provide health education given social, economic, and political realities in Mozambique.

Part of the problem with studies of technologies in poor parts of the world is that they are often conducted by highly educated researchers and are conducted in English. However, majority of the population in poor nations does not speak English. Such studies become irrelevant to the life experiences of those being studied.

I will disseminate findings from this study in Portuguese and English through talks and publications in U. Touch-enabled devices such as smartphones, tablets, and interactive kiosks are some of the most pervasive technologies in the world today.

As a result, touch has emerged as one of the most dominant forms of input for computing devices. My dissertation research takes an ability-based design approach toward improving the accessibility of touch-enabled devices for people with motor impairments. I intend to create intelligent interaction techniques that allow people with motor impairments to touch in whichever ways are most comfortable and natural for them, and for the system to react as if it was touched precisely.

In this era of increased engagement with technology, many latency-sensitive applications processing large amounts of data have emerged. For example, we expect social networks to show hashtag trends within minutes, data from IoT to be processed within seconds, and online gaming to react within milliseconds.

In all these diverse areas, handling large scale data in a real-time fashion is crucial. At scale, providing low latency becomes increasingly challenging with many complexities in distribution, scaling, fault-tolerance, and load-balancing.

My research has focused on developing techniques that broadly explore these issues with particular attention to end-to-end latency and building massive-scale solutions. Most of my work is deployed in large-scale production systems with hundreds of millions of users.

My research contributions span a wide range of frameworks including: My dissertation work attends to the intersection of accessible human-computer interaction and video game design. Games continually grow more complex, pervasive, and significant in 21st century life. Therefore, my work proposes to understand the play experiences of gamers with impairments and offer novel design solutions for mitigating the accessibility barriers they face.

My proposed investigations seek to understand how accessibility barriers manifest in mainstream games, to empower gamers with impairments to better navigate the landscape of game accessibility through novel information design, and to address underlying institutional concerns that perpetuate systemic accessibility issues in the game development industry through education interventions. Applications of Heterodox Rendering Methods to Visualization.

Information visualization is an illustrative method to depict data, and the structure of this data is not necessarily known beforehand. The classic rendering via rasterization of visualization primitives tends to minimize extraneous details; every drawn pixel or glyph has a tight correspondence to the data on which it is based.

A simple line chart for example. It is thought that a more expressive or artistic rendering of data might harness additional insight through abstraction, or even an emotional connection. These expressive methods which I have classified as Heterodox Visualization HV methods, include non-photorealistic rendering NPR , stylized rendering processes like pixelization, and other rendering approaches, like those that mimic natural media e.

To date there has been little systematic guidance covering how these HV methods could be applied to information visualization. My research will help determine, through experiment, which techniques pose a benefit to different types of visualizations. My research focuses on designing wireless communication protocols for Internet-of-Things IoT applications that require low-latency and high-reliability.

I am developing wireless communication protocols that employ simultaneous relaying by all radios in the network. This allows us to overcome bad channels and guarantee the latency requirements.

My early work dealt with understanding the fundamental limits of using cooperative communication for high-performance applications. Currently, I am exploring the key physical layer requirements that are needed to implement these protocols. I am modeling how synchronization and channel estimation impacts the performance of these protocols.

Ultimately, understanding the fundamental limits of high-reliability and low-latency wireless will enable us to engineer exciting applications. Technology plays an important role in both constraining and guiding how users explore, express, and innovate in a variety of creative tasks.

Practices are emerging which blend both physical and computational techniques and materials providing new opportunities to expand the aesthetic repertoire available to creative practitioners. This thesis contributes a framework for understanding how to create these hybrid elements and develop materials, tools, and practices that stimulate the imagination to explore a wider gamut of creative expressions.

Through a series of design tools, the thesis introduces data structures that break constrictive digital modes of practice, conceptual framings for guiding aesthetic exploration, and design principles for the adoption, sharing, and teaching of hybrid techniques. This work serves as a bridge between art and technology and challenges the narrative of who can participate and use digital fabrication technologies to include traditional artists, designers, and the broader community of creative practitioners.

Are international students those who are not citizens of the United States or Canada eligible to apply? How will applications be judged? If selected, when will I receive the grant funding? The tax implications for the research grant are based on the policy at the university. Nanoengineering for Tunable Energy-Efficient Optoelectronics Colloidal nanomaterials, such as semiconductor quantum dots, are of interest for various optoelectronic applications due to their size-tunable optical properties, distinctive electronic structure, and low-cost fabrication.

Designing efficient general verifiable computation primitives for data-intense applications along with prototype implementations. Developing an expressive framework for efficient graph queries on encrypted networks along with prototype implementations. Designing efficient protocols to facilitate secure storage of encrypted data in the cloud while enabling deduplication.

Smart Algorithms via Knowledge Management of Safe Physical Human-Robotic Care The beginning of a new era in safe assistive robotics will occur when people with disabilities and seniors let intelligent software control a mobile robotic manipulator to safely reposition their body and limbs.

Interpretable Machine Learning for Human Decision Making My research primarily focuses on exploring how machine learning can help improve real world decision making in domains such as health care and criminal justice.

Understanding the Experiences of Health Care Workers with ICTs My study examines the implementation of the health information system HIS in Mozambique and the roletechnologies play in educating health professionals for better delivery of care.

Accessible Touch Input for People with Motor Impairments Touch-enabled devices such as smartphones, tablets, and interactive kiosks are some of the most pervasive technologies in the world today. Building Large-scale Production Systems for Latency-sensitive Applications In this era of increased engagement with technology, many latency-sensitive applications processing large amounts of data have emerged.

Porter University of Washington Dissertation Title: Understanding and Improving Real-World Video Game Accessibility My dissertation work attends to the intersection of accessible human-computer interaction and video game design.

Applications of Heterodox Rendering Methods to Visualization Information visualization is an illustrative method to depict data, and the structure of this data is not necessarily known beforehand.

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